TY - GEN
T1 - Social Robots Personalisation
T2 - 18th Annual ACM/IEEE International Conference on Human-Robot Interaction, HRI 2023
AU - Tarakli, Imene
AU - Angelopoulos, Georgios
AU - Hellou, Mehdi
AU - Vindolet, Camille
AU - Abramovic, Boris
AU - Limongelli, Rocco
AU - Lacroix, Dimitri
AU - Bertolini, Andrea
AU - Rossi, Silvia
AU - Di Nuovo, Alessandro
AU - Cangelosi, Angelo
AU - Cheng, Gordon
N1 - Publisher Copyright:
© 2023 IEEE Computer Society. All rights reserved.
PY - 2023/3/13
Y1 - 2023/3/13
N2 - Nowadays, robots are expected to interact more physically, cognitively, and socially with people. They should adapt to unpredictable contexts alongside individuals with various behaviours. For this reason, personalisation is a valuable attribute for social robots as it allows them to act according to a specific user's needs and preferences and achieve natural and transparent robot behaviours for humans. If correctly implemented, personalisation could also be the key to the large-scale adoption of social robotics. However, achieving personalisation is arduous as it requires us to expand the boundaries of robotics by taking advantage of the expertise of various domains. Indeed, personalised robots need to analyse and model user interactions while considering their involvement in the adaptative process. It also requires us to address ethical and socio-cultural aspects of personalised HRI to achieve inclusive and diverse interaction and avoid deception and misplaced trust when interacting with the users. At the same time, policymakers need to ensure regulations in view of possible short-term and long-term adaptive HRI. This workshop aims to raise an interdisciplinary discussion on personalisation in robotics. It aims at bringing researchers from different fields together to propose guidelines for personalisation while addressing the following questions: how to define it - how to achieve it - and how it should be guided to fit legal and ethical requirements.
AB - Nowadays, robots are expected to interact more physically, cognitively, and socially with people. They should adapt to unpredictable contexts alongside individuals with various behaviours. For this reason, personalisation is a valuable attribute for social robots as it allows them to act according to a specific user's needs and preferences and achieve natural and transparent robot behaviours for humans. If correctly implemented, personalisation could also be the key to the large-scale adoption of social robotics. However, achieving personalisation is arduous as it requires us to expand the boundaries of robotics by taking advantage of the expertise of various domains. Indeed, personalised robots need to analyse and model user interactions while considering their involvement in the adaptative process. It also requires us to address ethical and socio-cultural aspects of personalised HRI to achieve inclusive and diverse interaction and avoid deception and misplaced trust when interacting with the users. At the same time, policymakers need to ensure regulations in view of possible short-term and long-term adaptive HRI. This workshop aims to raise an interdisciplinary discussion on personalisation in robotics. It aims at bringing researchers from different fields together to propose guidelines for personalisation while addressing the following questions: how to define it - how to achieve it - and how it should be guided to fit legal and ethical requirements.
KW - HRI
KW - Human-Centred Design
KW - Personalisation
KW - Social Robotics
UR - https://www.scopus.com/pages/publications/85150448852
U2 - 10.1145/3568294.3579953
DO - 10.1145/3568294.3579953
M3 - Conference contribution
AN - SCOPUS:85150448852
T3 - ACM/IEEE International Conference on Human-Robot Interaction
SP - 920
EP - 922
BT - HRI 2023 - Companion of the ACM/IEEE International Conference on Human-Robot Interaction
PB - IEEE Computer Society
Y2 - 13 March 2023 through 16 March 2023
ER -